Model Explainer

Confusion Matrix

How many false positives and false negatives?

ROC AUC Plot

Trade-off between False positives and false negatives

Shap Feature Importances

Ordering features by shap value

Shap Dependence

Relationship between feature value and SHAP value

Select Random Index

Selected index: 35509

Prediction

label	probability	logodds
0	0.1 %	-7.519
1	0.0 %	-12.293
2*	99.9 %	7.511

Contributions Plot

How has each feature contributed to the prediction?